A Markov random field model for network-based differential expression analysis of single-cell RNA-se...
A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
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Publisher
England: BioMed Central Ltd
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English
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Publisher
England: BioMed Central Ltd
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Recent development of single cell sequencing technologies has made it possible to identify genes with different expression (DE) levels at the cell type level between different groups of samples. In this article, we propose to borrow information through known biological networks to increase statistical power to identify differentially expressed gene...
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Full title
A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
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TN_cdi_doaj_primary_oai_doaj_org_article_73f8d1f15edc4208ad885fb4bf2897d7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_73f8d1f15edc4208ad885fb4bf2897d7
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-021-04412-0
